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Serum nutritional biomarkers and their associations with sleep among US adults in recent national surveys

The associations between nutritional biomarkers and measures of sleep quantity and quality remain unclear. Cross-sectional data from the National Health and Nutrition Examination Surveys (NHANES) 2005-2006 were used. We selected 2,459 adults aged 20-85, with complete data on key variables. Five slee...

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Published in:PloS one 2014-08, Vol.9 (8), p.e103490-e103490
Main Authors: Beydoun, May A, Gamaldo, Alyssa A, Canas, Jose A, Beydoun, Hind A, Shah, Mauli T, McNeely, Jessica M, Zonderman, Alan B
Format: Article
Language:English
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Summary:The associations between nutritional biomarkers and measures of sleep quantity and quality remain unclear. Cross-sectional data from the National Health and Nutrition Examination Surveys (NHANES) 2005-2006 were used. We selected 2,459 adults aged 20-85, with complete data on key variables. Five sleep measures were constructed as primary outcomes: (A) Sleep duration; (B) Sleep disorder; (C) Three factors obtained from factor analysis of 15 items and labeled as "Poor sleep-related daytime dysfunction" (Factor 1), "Sleepiness" (Factor 2) and "Sleep disturbance" (Factor 3). Main exposures were serum concentrations of key nutrients, namely retinol, retinyl esters, carotenoids (α-carotene, β-carotene, β-cryptoxanthin, lutein+zeaxanthin, lycopene), folate, vitamin B-12, total homocysteine (tHcy), vitamin C, 25-hydroxyvitamin D (25(OH)D) and vitamin E. Main analyses consisted of multiple linear, logistic and multinomial logit models. Among key findings, independent inverse associations were found between serum vitamin B-12 and sleep duration, 25(OH)D and sleepiness (as well as insomnia), and between folate and sleep disturbance. Serum total carotenoids concentration was linked to higher odds of short sleep duration (i.e. 5-6 h per night) compared to normal sleep duration (7-8 h per night). A few of the selected serum nutritional biomarkers were associated with sleep quantity and quality. Longitudinal studies are needed to ascertain temporality and assess putative causal relationships.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0103490